Tomáš Hodaň

Tomáš Hodaň


Research Scientist, Reality Labs at Meta
Curriculum vitae | Google Scholar | LinkedIn | GitHub | Twitter
tomhodan@meta.com

I am a Research Scientist at Reality Labs at Meta in Zurich. My research is focused on computer vision, mostly on 3D tracking of objects and hands. Prior to joining Meta in 2020, I received my PhD under the supervision of Prof. Jiří Matas at the Czech Technical University in Prague, during which I worked on object pose estimation (EPOS, T-LESS), synthesis of effective training data (ObjectSynth, BlenderProc), and started co-organizing the BOP benchmark and the R6D workshops. Some of this work is coming from my internships at Microsoft Research in Redmond and Google in Munich. Prior to that, I obtained my Bachelor's and Master's degree from the Brno University of Technology. I received the Rector's Prize for an outstanding PhD thesis and the Dean's Prize for an excellent Master's thesis.

NEWS (show more)

PhD THESIS

Pose Estimation of Specific Rigid Objects
Supervisor: Prof. Jiří Matas
Reviewers: Prof. Vincent Lepetit, Prof. Markus Vincze, Dr. Slobodan Ilic
Czech Technical University in Prague, 2021
Received the Rector's Prize for an outstanding PhD thesis

SELECTED PUBLICATIONS (see my Google Scholar profile for a full list)

S. Hampali, T. Hodaň, L. Tran, L. Ma, C. Keskin, V. Lepetit
In-Hand 3D Object Scanning from an RGB Sequence
Conference on Computer Vision and Pattern Recognition (CVPR) 2023, Vancouver
M. Sundermeyer, T. Hodaň, Y. Labbé, G. Wang, E. Brachmann, B. Drost, C. Rother, J. Matas
BOP Challenge 2022 on Detection, Segmentation and Pose Estimation of Specific Rigid Objects
Conference on Computer Vision and Pattern Recognition Workshops (CVPRW, CV4MR) 2023, Vancouver
L. Huang, T. Hodaň, L. Ma, L. Zhang, L. Tran, C. Twigg, P.-C. Wu, J. Yuan, C. Keskin, R. Wang
Neural Correspondence Field for Object Pose Estimation
European Conference on Computer Vision (ECCV) 2022, Tel-Aviv
E. Corona, T. Hodaň, M. Vo, F. Moreno-Noguer, C. Sweeney, R. Newcombe, L. Ma
LISA: Learning Implicit Shape and Appearance of Hands
Conference on Computer Vision and Pattern Recognition (CVPR) 2022, New Orleans
T. Hodaň, M. Sundermeyer, B. Drost, Y. Labbé, E. Brachmann, F. Michel, C. Rother, J. Matas
BOP Challenge 2020 on 6D Object Localization
European Conference on Computer Vision Workshops (ECCVW) 2020, Glasgow
Y. Patel, T. Hodaň, J. Matas
Learning Surrogates via Deep Embedding
European Conference on Computer Vision (ECCV) 2020, Glasgow
M. Denninger, M. Sundermeyer, D. Winkelbauer, D. Olefir, T. Hodaň, Y. Zidan, M. Elbadrawy, M. Knauer, H. Katam, A. Lodhi
BlenderProc: Reducing the Reality Gap with Photorealistic Rendering
Robotics: Science and Systems (RSS) Workshops 2020, Corvallis
T. Hodaň, D. Baráth, J. Matas
EPOS: Estimating 6D Pose of Objects with Symmetries
Conference on Computer Vision and Pattern Recognition (CVPR) 2020, Seattle
T. Hodaň, V. Vineet, R. Gal, E. Shalev, J. Hanzelka, T. Connell, P. Urbina,
S. N. Sinha, B. Guenter
Photorealistic Image Synthesis for Object Instance Detection
International Conference on Image Processing (ICIP) 2019, Taipei
T. Hodaň, F. Michel, E. Brachmann, W. Kehl, A. G. Buch, D. Kraft, B. Drost, J. Vidal, S. Ihrke, X. Zabulis, C. Sahin, F. Manhardt, F. Tombari, T.-K. Kim, J. Matas, C. Rother
BOP: Benchmark for 6D Object Pose Estimation
European Conference on Computer Vision (ECCV) 2018, Munich
T. Hodaň, P. Haluza, Š. Obdržálek, J. Matas, M. Lourakis, X. Zabulis
T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-less Objects
Winter Conference on Applications of Computer Vision (WACV) 2017, Santa Rosa
T. Hodaň, J. Matas, Š. Obdržálek
On Evaluation of 6D Object Pose Estimation
European Conference on Computer Vision Workshops (ECCVW) 2016, Amsterdam
Detection and Fine 3D Pose Estimation of Texture-less Objects in RGB-D Images
T. Hodaň, X. Zabulis, M. Lourakis, Š. Obdržálek, J. Matas
Detection and Fine 3D Pose Estimation of Texture-less Objects in RGB-D Images
International Conference on Intelligent Robots and Systems (IROS) 2015, Hamburg
Efficient Texture-less Object Detection for Augmented Reality Guidance
T. Hodaň, D. Damen, W. Mayol-Cuevas, J. Matas
Efficient Texture-less Object Detection for Augmented Reality Guidance
International Symposium on Mixed and Augmented Reality Workshops (ISMARW), 2015, Fukuoka

ORGANIZED WORKSHOPS ON RECOVERING 6D OBJECT POSE

8th edition (ICCV 2023, Paris), 7th edition (ECCV 2022, Tel-Aviv), 6th edition (ECCV 2020, Glasgow), 5th edition (ICCV 2019, Seoul), 4th edition - summary (ECCV 2018, Munich), 3rd edition (ICCV 2017, Venice), 2nd edition (ECCV 2016, Amsterdam), 1st edition (ICCV 2015, Santiago)

RESEARCH REPORTS

T. Hodaň, R. Kouskouridas, T.-K. Kim, F. Tombari, K. Bekris, B. Drost, T. Groueix, K. Walas, V. Lepetit, A. Leonardis, C. Steger, F. Michel, C. Sahin, C. Rother, J. Matas
A Summary of the 4th International Workshop on Recovering 6D Object Pose
European Conference on Computer Vision Workshops (ECCVW) 2018, Munich

PROJECTS

BlenderProc4BOP - An open-source, light-weight, procedural and photorealistic (PBR) renderer.

DARWIN - A dexterous assembler robot working with embodied intelligence.

TEACHING

Pattern Recognition and Machine Learning (2013-2018) - a course at Faculty of Electrical Engineering, CTU